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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
富油煤焦油产率测井评价方法研究
  • Title

    A log-based method for evaluating the tar yield of tar-rich coal

  • 作者

    田瀚李宁王双明武宏亮冯周王克文王贵文

  • Author

    TIAN Han;LI Ning;WANG Shuangming;WU Hongliang;FENG Zhou;WANG Kewen;WANG Guiwen

  • 单位

    中国石油大学(北京) 地球科学学院中国石油勘探开发研究院西安科技大学 煤炭绿色开采地质研究院

  • Organization
    College of Geosciences, China University of Petroleum (Beijing)
    Research Institute of Petroleum Exploration & Development, PetroChina
    Geological Research Institute for Coal Green Mining, Xi’an University of Science and Technology
  • 摘要
    目的

    富油煤作为一种集煤、油、气属性为一体的煤基油气资源,对于保障我国油气资源供应、实现煤炭清洁高效利用具有重要意义。目前富油煤的识别主要依靠格金干馏试验测量的焦油产率来判断,而利用地球物理手段准确识别与评价富油煤的研究则相对薄弱。

    方法

    以新疆三塘湖盆地侏罗系西山窑组和八道湾组煤层为研究对象,基于岩石物理实验,在明确富油煤典型测井响应特征基础上,创新建立了一种煤焦油产率测井定量评价方法。

    结果和结论

    结果表明:(1) 相比含油煤,富油煤具有富氢结构物质含量高、孔隙结构差的特点,这造成富油煤具有“低密度、高中子和高电阻率”的常规测井响应特征;(2) 通过多状态二维核磁共振实验测量分析,明确了富油煤具有“二维核磁T1谱双峰,T2<1、T1/ T2>10区域信号强”的核磁测井响应特征,而含油煤相应区域信号不明显,这与富油煤中富氢结构物质含量高有关;(3) 基于富油煤典型测井响应特征,提出利用电阻率和中子2个参数构建富油煤指示因子ZZ越大,表明煤焦油产率越高。在煤焦油产率刻度基础上,建立了煤焦油产率与指示因子间的线性关系,实现了煤焦油产率的准确方便计算,可操作性强。上述认识为基于地球物理测井手段识别和评价富油煤提供了理论指导。

  • Abstract
    Objective

    As a kind of coal-based oil and gas resource, tar-rich coal is significant for the supply of oil and gas resources, as well as the clean and efficient utilization of coals. Presently, the identification of tar-rich coals primarily depends on the Gray-King assay. In contrast, there is a lack of studies on the accurate identification and evaluation of tar-rich coal using geophysical methods.

    Methods

    This study investigated coals in the Jurassic Xishanyao and Badaowan Formations in Santanghu Basin, Xinjiang. Based on petrophysical experiments, as well as the typical log response characteristics of tar-rich coal, this study developed a new log-based method for quantitatively evaluating the tar yield of tar-rich coal.

    Results and Conclusions

    Key findings are as follows: (1) Compared to tar-bearing coal, tar-rich coal features a high content of materials with hydrogen-rich structures and unfavorable pore structures, which contribute to the log response characteristics of low density, high compensated neutron logging, and high resistivity. (2) The multistate 2D NMR experiments reveal that tar-rich coal is characterized by double peaks of the T1 spectrum and strong signals in zones with T2<1 and T1/T2>10, while oil-rich coal shows insignificant singles in these zones. This contrast is related to the high content of materials with hydrogen-rich structures in tar-rich coal. (3) Based on the log response characteristics of tar-rich coal, this study established indicator Z for tar-rich coal using resistivity and neutron log curves, with a higher Z value indicating higher tar yield of the coal. Building on tar yield calibration, this study determined the linear relationship between the coal tar yield and Z, achieving the accurate, convenient, and practical calculation of the tar yield of tar-rich coal. The above understanding offers theoretical guidance for identifying and evaluating tar-rich coal based on geophysical logs.

  • 关键词

    富油煤焦油产率测井响应核磁共振测井评价方法三塘湖盆地

  • KeyWords

    tar-rich coal;tar yield;log response characteristic;nuclear magnetic resonance (NMR) log;evaluation method;Santanghu Basin

  • 基金项目(Foundation)
    中国石油“十四五”基础性前瞻性科技项目(2021DJ3805)
  • DOI
  • 引用格式
    田瀚,李宁,王双明,等. 富油煤焦油产率测井评价方法研究[J]. 煤田地质与勘探,2024,52(7):97−107. DOI: 10.12363/issn.1001-1986.23.12.0844
  • Citation
    TIAN Han,LI Ning,WANG Shuangming,et al. A log-based method for evaluating the tar yield of tar-rich coal[J]. Coal Geology & Exploration,2024,52(7):97−107. DOI: 10.12363/issn.1001-1986.23.12.0844
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  • 图表
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    • 典型煤样特征及显微组分

    图(11) / 表(3)

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